DBmmWave: Chance-Constrained Joint AP Deployment and Beam Steering in mmWave Networks With Coverage Probability Constraints
AuthorsAbdel-Rahman, Mohammad J.
Kishk, Mustafa Abdelsalam
Mackenzie, Allen B.
Sofotasios, Paschalis C.
Permanent link to this recordhttp://hdl.handle.net/10754/667882
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AbstractAt millimeter wave (mmWave) frequencies, high attenuation in propagation and severe blockage by obstacles lead to high uncertainty in the availability of links between access points (APs) and mobile devices. Considering this uncertainty in combination with the inherent user location uncertainty, we propose DBmmWave, as the first chance-constrained stochastic programming (CCSP) framework for joint AP deployment and beam steering in mmWave networks. Extensive results are generated to quantify the impact of channel conditions and user distribution on the network coverage and the required number of mmWave APs. Our results demonstrate the effectiveness of CCSP in handling the trade-off between the number of APs and the network coverage.
CitationAbdel-Rahman, M. J., Al-Ogaili, F., Kishk, M. A., Mackenzie, A. B., Sofotasios, P. C., Muhaidat, S., & Nabil, A. (2019). DBmmWave: Chance-Constrained Joint AP Deployment and Beam Steering in mmWave Networks With Coverage Probability Constraints. IEEE Networking Letters, 1(4), 151–155. doi:10.1109/lnet.2019.2935904
SponsorsThis work was supported in part by the National Science Foundation under Grant 1526844, and in part by the Khalifa University under Grant KU/FSU-8474000122 and Grant KU/RC1-C2PS-T2/8474000137. The associate editor coordinating the review of this article and approving it for publication was F. Y. Li.
JournalIEEE Networking Letters